Analysis of Characteristics of International Trade Network Based on PageRank Algorithm

Abstract

With the development of the Internet, the international trade system has the characteristics of complexity. According to the idea of complex networks, we regard international trade as a complex network: countries are the key points of international trade networks, trade links between countries are links in the network, and trade flows are used to assign weights to links. Therefore, how to apply accurate algorithms to analyze the characteristics of the international trade network has become an important subject of our research. In-depth study of the characteristics of the international trade network and the simplification of the network are of very important significance. This article introduces the overview of the international trade network and the PageRank algorithm in detail through a large number of literature readings and questionnaire surveys, and proposes an improved algorithm for PageRank. Through an in-depth study of the PageRank algorithm knowledge of international trade students from a university and technical personnel and management personnel of a foreign trade company, the improved PageRank algorithm simulates the information diffusion process in the network and uses all data points to spread to the network. Each node receives information from other nodes as the basis for merging between communities, and introduces modularity as the basis for merging between communities to evaluate the pros and cons of community division. Finally, the test results of the network algorithm show that the improved algorithm can achieve excellent performance quality on the international trade network.